Monroe (GA) Investor Pulse Report (2026-Q1)

Real Estate comprehensive investment analysis of investor activity in the Monroe (GA) single-family residential housing market. Discover ownership trends, transaction patterns, and market insights.

Market Overview

Total SFR Properties in Monroe (GA)
8,761
Total Investors in Monroe (GA)
992
Investor Owned SFR in Monroe (GA)
949(10.8%)
Individual Landlords
Landlords
822
SFR Owned
721
Corporate Landlords
Landlords
170
SFR Owned
229
Understanding Property Counts

Distinct Count Methodology: The total 949 represents distinct properties - if 2+ landlords co-own the same property, it's counted only once. This provides the most accurate representation of investor-owned SFR properties.

Why totals don't sum: When broken down by Individual vs Corporate ownership (or by tier), properties with co-ownership across categories are counted once per category. For example, if a property is co-owned by an individual AND a corporate landlord, it appears in both counts. This is why Individual + Corporate totals may exceed the distinct total by 2-4%, and percentages may sum to 100-104%.

Market Visualization

Chart Section2 Coverage
Chart Section3 Ownership Donut
Chart Section4 Distribution

Key Market Insights

Mom-and-Pop Landlords Dominate Monroe County with 95.4% Ownership, Buying at a 58.3% Discount
Investors own 949 single-family properties in Monroe County, GA, representing 10.8% of the market. This sector is overwhelmingly controlled by mom-and-pop landlords (1-10 properties) who own 95.4% of the inventory, while institutional investors hold just 0.1%. In Q1 2026, landlords were aggressive net buyers and capitalized on significant price advantages, paying 58.3% less than traditional homeowners.
Landlord Owned Current Holdings
Investors own 949 SFR properties in Monroe County, with individuals holding 76.0%.
The majority of the portfolio is owned outright, with 786 properties held with cash versus 163 that are financed. Individual landlords outnumber companies nearly 5-to-1 (822 vs 170). The portfolio is heavily rental-focused, with 908 of the 949 properties (95.7%) classified as rented.
Landlord vs Traditional Homeowners
Landlords paid 58.3% less than homeowners in Q1, an average discount of $233,816.
This massive discount ($167,500 for landlords vs $401,316 for homeowners) marks a dramatic shift from a year prior, when landlords paid a 9.3% premium in Q1 2025. The price advantage has been highly volatile, swinging from a $67,613 discount in Q2 2025 to a $321,231 discount in Q3 2025.
Current Quarter Purchases
Landlords purchased 14.0% of all single-family homes sold in the most recent quarter.
Mom-and-pop landlords (1-10 properties) were behind 83.3% of these purchases, acquiring 5 of the 6 investor-bought properties. Institutional investors made zero acquisitions. The market saw 6 new single-property landlord entities emerge during the quarter.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control an overwhelming 95.4% of investor SFRs.
This dominance leaves just 0.1% of the market for institutional investors (1000+ properties), challenging narratives of a corporate takeover. Single-property landlords alone own 697 properties, comprising 72.2% of the entire investor-owned housing stock in Monroe County.
Ownership by Tier & Type
Companies become the majority owners only in portfolios of 21 or more properties.
Individuals dominate smaller tiers, owning 82.4% of single-property portfolios and 78.8% of two-property portfolios. The crossover happens in the 21-50 property tier, where companies hold a 60.0% share, signaling a shift to corporate structures for larger-scale operations.
Geographic Distribution
Investor activity is concentrated in zip code 31029, which holds 637 properties.
While 31029 has the highest volume, zip code 31016 has the highest density of investors, with an ownership rate of 21.5%. Other areas with high investor penetration include 30204 (13.6%) and 30233 (13.4%).
Historical Transactions
Landlords in Monroe County are aggressive net buyers, acquiring 3.5 properties for every 1 they sold in Q1 2026.
This strong net-buyer position has been consistent, with a 4.2x buy/sell ratio in 2025 (59 buys vs 14 sells) and a 2.5x ratio in 2024 (57 buys vs 23 sells). Transaction volume has remained stable, with around 60 purchases per year.
Current Quarter Transactions
Landlords were involved in 11.3% of all single-family property transactions in Q1 2026.
Activity was dominated by new single-property investors, who accounted for 6 of the 7 landlord transactions and paid an average of $167,500. Notably, 100% of purchases by larger landlords (51-100 tier) came from other landlords, while 0% of new investor purchases did.

Want deeper insights tailored to your investment strategy?

TALK TO AN EXPERT

Current Holdings Portfolio

Analysis of landlord property holdings by type, financing method, and owner category

Chart Section5 Holdings
Key Insight
Investors own 949 SFR properties in Monroe County, with individuals holding 76.0%.
Detailed Findings

In Monroe County, GA, investors hold 949 Single Family Residential (SFR) properties, accounting for 10.8% of the total 8,761 SFRs in the market. This demonstrates a significant, yet not dominant, investor presence in the local housing ecosystem.

Individual real estate investors are the primary drivers of the rental market, owning 721 properties, or 76.0% of the total investor-owned portfolio. In contrast, company-owned properties number 229, making up the remaining 24.1%, highlighting a market structure built on smaller, private ownership.

A striking financial characteristic of this market is the preference for cash ownership. A total of 786 properties (82.8% of the portfolio) are owned free and clear, compared to just 163 that carry financing. This suggests a fiscally conservative or high-equity investor base less reliant on leverage.

The entity count further reinforces the dominance of small-scale investors. There are 822 individual landlords compared to 170 company landlords, a ratio of nearly five individuals for every one company, challenging the narrative of a corporate-dominated rental market.

The portfolio's purpose is overwhelmingly geared toward rentals. Of the 949 investor-owned properties, 908 are registered as rented, indicating that 95.7% of the portfolio is actively used as rental housing rather than for other purposes like flipping or personal use.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords paid 58.3% less than homeowners in Q1, an average discount of $233,816.
Detailed Findings

In Q1 2026, investors in Monroe County acquired properties at an average price of $167,500, a staggering 58.3% less than the $401,316 paid by traditional homeowners. This equates to a raw discount of $233,816 per property, signaling that investors are targeting a significantly different and lower-priced segment of the market.

The price gap between landlords and homeowners has been extremely volatile over the past year. The current 58.3% discount is a sharp reversal from Q1 2025, where investors actually paid a 9.3% premium ($465,533 vs $425,963). This fluctuation indicates rapidly changing market dynamics or investor acquisition strategies.

Looking at quarterly trends, the landlord discount has widened dramatically from its narrowest point. In Q2 2025, the discount was a relatively modest 15.7% ($67,613), but it expanded to an immense 67.0% ($321,231) in Q3 2025 before settling at the current 58.3%.

Overall price appreciation for investor-acquired properties shows a cooling trend. After rising from a $233,887 average in the 2020-2023 period to $275,598 in 2025, the average acquisition price in Q1 2026 plummeted to $167,500. This suggests a strategic shift toward lower-value assets.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends
Chart Section6 Yoy Comparison

Current Quarter Purchase Summary

Analysis of Q1 2026 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords purchased 14.0% of all single-family homes sold in the most recent quarter.
Detailed Findings

In the last quarter of 2025, landlords accounted for 14.0% of all SFR market activity in Monroe County, purchasing 6 of the 43 homes sold. This level of activity, while notable, shows that traditional homebuyers still drive the vast majority of sales.

The acquisition activity was almost entirely driven by small-scale investors. Mom-and-pop landlords (Tiers 01-04) purchased 5 of the 6 properties, representing 83.3% of all investor acquisitions for the quarter. This reinforces their role as the primary source of new rental inventory.

Single-property landlords were the most active group, with 6 new or existing entities in this tier acquiring 5 properties. This highlights a continuous entry of new, small investors into the Monroe County rental market.

In stark contrast, institutional investors (Tier 09, 1000+ properties) had no purchasing activity, acquiring 0 properties during the quarter. Their absence from the buying landscape cedes the entire market to smaller operators.

The only other activity came from the medium-large tier (51-100 properties), where a single entity purchased one property. This isolated transaction underscores the lack of significant acquisition volume from larger portfolio holders.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control an overwhelming 95.4% of investor SFRs.
Detailed Findings

The ownership structure of investor properties in Monroe County is overwhelmingly dominated by small-scale landlords. Mom-and-pop investors, defined as those owning 1-10 properties (Tiers 01-04), collectively own 95.4% of all investor-held SFRs.

At the most granular level, single-property landlords (Tier 01) are the bedrock of the market. This group owns 697 properties, which translates to 72.2% of the entire investor portfolio. This concentration underscores the importance of first-time and small-scale investors to the local rental supply.

In stark contrast, institutional investors with 1,000 or more properties (Tier 09) have a negligible footprint in Monroe County. Their holdings amount to a single property, representing just 0.1% of the investor market, which effectively dispels any notion of their dominance in this area.

Mid-size landlords (11-1,000 properties) also have a very limited presence. The combined share of all tiers from 11 to 1,000 properties (Tiers 05-08) is only 4.4%, further highlighting the fragmented and small-scale nature of property ownership.

The distribution is heavily skewed towards the smallest portfolios, with two-property landlords holding 6.8%, 3-5 property landlords holding 11.3%, and 6-10 property landlords holding 5.1%. Together with single-property owners, these small investors form the near-entirety of the market.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

Need custom portfolio analysis based on these tier insights?

TALK TO AN EXPERT

Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
Companies become the majority owners only in portfolios of 21 or more properties.
Detailed Findings

Individual investors form the foundation of the rental market in Monroe County, commanding a majority share in all smaller portfolio tiers. They own 82.4% of properties in the single-property tier and 78.8% in the two-property tier, demonstrating that the market's entry-level is almost exclusively private individuals.

The transition from individual to corporate ownership occurs at a distinct threshold. Companies only become the majority property holders in the 21-50 property tier (Tier 06), where they own 60.0% of the assets. Below this size, individuals consistently own the larger share.

Even as portfolio sizes grow, individual ownership remains significant. In the 3-5 property tier, individuals own 72.5% of homes, and in the 6-10 property tier, they still hold a majority at 59.2%. This indicates a strong preference for personal ownership even among established mom-and-pop landlords.

For the largest landlords, a corporate structure is the norm, as seen in the 21-50 property tier crossover. This shift likely reflects the legal, financial, and operational complexities that come with managing a larger number of rental units, making an LLC or other corporate entity more practical.

The data clearly illustrates two different investor profiles: individuals who dominate the small-to-medium landlord space and companies that take over as portfolios scale into the dozens of properties, creating a clear dividing line in operational strategy.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity is concentrated in zip code 31029, which holds 637 properties.
Detailed Findings

Geographic analysis of Monroe County reveals significant concentration of investor-owned properties in specific zip codes. The 31029 zip code is the epicenter of activity by volume, containing 637 investor-owned SFRs, which accounts for two-thirds of the entire county's investor portfolio.

However, the highest rate of investor penetration is found elsewhere. Zip code 31016 has the greatest density, where investors own 21.5% of the housing stock. This highlights a key difference between raw volume and market saturation.

Other hotspots for investor ownership include 30233, with 79 properties and a 13.4% ownership rate, and 30204, with a 13.6% ownership rate. These areas represent markets where investor presence is more than 25% higher than the county average of 10.8%.

Conversely, some areas show lower investor interest. Zip code 31046 has 75 investor-owned properties but an ownership rate of just 7.4%, well below the county average. This indicates that while the area has scale, it is less dominated by rental properties.

The data shows a clear pattern: the area with the most investor properties (31029, 12.1% rate) is not the one with the highest investor share (31016, 21.5% rate). This distinction is critical for understanding where investors are concentrated versus where they dominate the local market.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

Buy/sell transaction trends over time for all landlords and institutional investors

Chart Section11 Buysell
Chart Section11 Buysell Price
Chart Section11 Yoy All Landlords
Chart Section11 Institutional
Chart Section11 Institutional Price
Key Insight
Landlords in Monroe County are aggressive net buyers, acquiring 3.5 properties for every 1 they sold in Q1 2026.
Detailed Findings

Transaction data reveals that landlords in Monroe County are consistently in an accumulation phase. In Q1 2026, they demonstrated a strong net-buyer position, purchasing 7 properties while selling only 2, resulting in a buy-to-sell ratio of 3.5-to-1.

This pattern of net acquisition is a multi-year trend. In the full year of 2025, landlords bought 59 homes and sold only 14, for an even higher buy/sell ratio of 4.2. Similarly, in 2024, they purchased 57 properties and sold 23, maintaining a robust net-buyer ratio of 2.5.

The overall velocity of transactions has remained remarkably steady. Landlords completed 59 purchases in 2025 and 57 in 2024, indicating a stable and predictable level of market activity and capital deployment year-over-year.

Selling activity, while present, is minimal compared to buying. The 14 properties sold in 2025 and 23 sold in 2024 represent a small fraction of the total portfolio, suggesting investors are focused on long-term holds rather than short-term flips or portfolio churning.

There is no transaction data available for institutional investors (1000+ tier), indicating their activity is either nonexistent or too minimal to register, leaving the transactional market entirely to smaller and mid-sized players.

Current Quarter Transactions

Q1 2026 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Landlords were involved in 11.3% of all single-family property transactions in Q1 2026.
Detailed Findings

In Q1 2026, landlords participated in 7 of the 62 total SFR transactions in Monroe County, capturing an 11.3% share of the market. This reflects a focused but not overwhelming presence in quarterly sales activity.

The vast majority of this activity came from the smallest investors. Landlords in the single-property tier were responsible for 6 of the 7 transactions, reaffirming that market entry and small-scale acquisitions are the primary drivers of investor purchasing.

A clear strategic split emerges when analyzing where investors source their deals. The 6 purchases made by single-property landlords all came from non-landlords (0% from landlords). In contrast, the single transaction by a medium-large (51-100 tier) landlord was a landlord-to-landlord deal (100% from landlords).

This suggests that new and small investors are acquiring properties from the general market, likely from homeowners, while more established, larger investors are trading existing rental assets among themselves.

Pricing for new entrants was consistent, with single-property tier buyers paying an average of $167,500. There was no transaction activity from institutional investors, who remained completely on the sidelines during the first quarter.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

Ready to leverage this data for your real estate investment decisions?

TALK TO AN EXPERT

Executive Summary

Mom-and-pop investors command 95.4% of Monroe County's rental market, acquiring properties at a 58.3% discount to homeowners.
Holdings
Landlords own 949 SFR properties, 10.8% of Monroe County's market, with individual investors holding a dominant 76.0% (721 properties) and companies owning 24.1% (229 properties).
Pricing
In Q1 2026, landlords paid 58.3% less than homeowners, securing an average discount of $233,816 per property by purchasing at $167,500 versus the homeowner average of $401,316.
Activity
Investors purchased 14.0% of homes sold in the most recent quarter, an activity driven by small operators, with 6 new single-property landlords entering the market.
Market Share
Small mom-and-pop landlords (1-10 properties) control 95.4% of investor housing, while large-scale institutional investors (1000+) own just 0.1% of the portfolio.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners in portfolios of 21 properties or more, marking a clear operational shift at scale.
Transactions
Landlords are strong net buyers with a 3.5x buy-to-sell ratio in Q1 (7 buys vs 2 sells), consistently expanding their portfolios. No institutional transactions were recorded.
Market Narrative

In Monroe County, GA, the property ownership landscape for single-family rentals is overwhelmingly shaped by small, independent operators. Investors currently hold 949 properties, representing 10.8% of the total market. The structure defies the national narrative of corporate dominance: individual investors own 76.0% of these homes, and mom-and-pop landlords (1-10 properties) control a staggering 95.4% of the entire investor-owned portfolio. In contrast, institutional firms with over 1,000 properties have a near-zero footprint, holding just a single property (0.1%).

Investor behavior in the most recent quarter reveals a strategy centered on acquiring properties at a deep discount. Landlords captured 14.0% of all sales and paid an average of just $167,500, a massive 58.3% less than traditional homeowners ($401,316). This indicates a focus on a lower-priced tier of housing. Transaction data further shows landlords are in a strong accumulation phase, buying 3.5 homes for every one they sold in Q1 2026. This activity is fueled by new entrants, with 6 single-property landlords joining the market last quarter.

The key takeaway for the Monroe County housing market is its stability and reliance on a broad base of local, small-scale investors rather than large, remote corporations. The market dynamics are characterized by value-oriented acquisitions, long-term holding strategies, and a clear distinction between where new investors find inventory (the open market) and how larger local players expand (inter-landlord trades). This structure suggests a rental market that is deeply integrated with the local community and less susceptible to the volatile strategies of large institutional capital.

About This Report

Report Methodology

This report analyzes BatchData's Investor Pulse dataset, covering single-family residential (SFR) investor activity across the United States.

Data is extracted from 15 CSV files covering ownership, transactions, and pricing trends, then analyzed using AI-powered insights.

Property Counting Methodology:

Distinct Counts: All headline totals represent distinct properties. If 2+ landlords co-own the same property, it's counted only once. This provides accurate market representation.

Category Breakdowns: When analyzing by tier (01-09), owner type (Individual/Corporate), or occupancy status, properties with co-ownership across categories are counted once per category. This causes breakdowns to sum 2-4% higher than totals, and percentages may sum to 100-104%. This is expected and reflects co-ownership patterns.

Tier Properties Category
01-041-10Mom-and-Pop
05-0711-100Mid-Size
08101-1000Large
091000+Institutional
About BatchData

BatchData provides comprehensive real estate data and analytics, offering insights into property ownership, investor activity, and market trends across the United States.

The Investor Pulse dataset tracks single-family residential (SFR) investor behavior at national, state, county, and MSA levels.

For more information, visit batchdata.io or explore our API documentation.

Data Freshness
Report Generated July 21, 2026 at 07:27 AM
Data Period Q1 2026
Geography Level County
Geography Monroe (GA)
×
Chart Section2 Coverage
Chart Section2 Coverage
×
Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
×
Chart Section3 Ownership Bar
Chart Section3 Ownership Bar
×
Chart Section4 Distribution
Chart Section4 Distribution
×
Chart Section5 Holdings
Chart Section5 Holdings
×
Chart Section6 Prices
Chart Section6 Prices
×
Chart Section6 Prices Alt
Chart Section6 Prices Alt
×
Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
×
Chart Section6 Trends
Chart Section6 Trends
×
Chart Section7 Purchases
Chart Section7 Purchases
×
Chart Section7 Tiers
Chart Section7 Tiers
×
Chart Section8 Distribution
Chart Section8 Distribution
×
Chart Section8 Prices
Chart Section8 Prices
×
Chart Section8 Prices Q4
Chart Section8 Prices Q4
×
Chart Section8 Prices 2020
Chart Section8 Prices 2020
×
Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
×
Chart Section9 Ownership
Chart Section9 Ownership
×
Chart Section9 Growth
Chart Section9 Growth
×
Chart Section9 Growth Q4
Chart Section9 Growth Q4
×
Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
×
Chart Section10 Top Regions
Chart Section10 Top Regions
×
Chart Section10 Top Pct
Chart Section10 Top Pct
×
Chart Section11 Buysell
Chart Section11 Buysell
×
Chart Section11 Buysell Price
Chart Section11 Buysell Price
×
Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
×
Chart Section11 Institutional
Chart Section11 Institutional
×
Chart Section11 Institutional Price
Chart Section11 Institutional Price
×
Chart Section12 Transactions
Chart Section12 Transactions
×
Chart Section12 Prices
Chart Section12 Prices
×
Chart Section12 Prices Detail
Chart Section12 Prices Detail

Licensing & Usage Rights

This report, data, and all visual analyses are the property of BatchData © 2026 BatchService, Inc. and are licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).

You MAY: Download, share, or excerpt this content for personal or non-commercial purposes, provided you give clear attribution to BatchData with a link back to this original page.

You MAY NOT: Use this data commercially, resell or redistribute it as your own, or publish modified versions.

For commercial licensing: batchdata.io/contact-sales

Creative Commons BY-NC-ND 4.0 - creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this report

BatchData. (2026). Q1 2026 Monroe (GA) Report. BatchService, Inc. Retrieved from https://reports.batchdata.io/investorpulse-reports/2026-q1-county-ga-monroe/. Licensed under CC BY-NC-ND 4.0.